summarize.sum: Sum-based probe summarization
In RPA: RPA: Robust Probabilistic Averaging for probe-level analysis
Description
Usage
Arguments
Value
Author(s)
References
Description
Probeset summarization with the standard sum method.
Usage
1
2
summarize.sum(taxonomy, level, probedata, verbose = TRUE,
downweight.ambiguous.probes = TRUE)
Arguments
taxonomy
oligo - phylotype matching data.frame
level
taxonomic level for the summarization.
probedata
preprocessed probes x samples data matrix in absolute domain
verbose
print intermediate messages
downweight.ambiguous.probes
Downweight probes with multiple targets
Value
List with two elements: abundance.table (summarized data matrix in absolute scale) and probe.parameters used in the calculations
Author(s)
Contact: Leo Lahti microbiome-admin@googlegroups.com
References
See citation("microbiome")
RPA documentation built on Nov. 8, 2020, 7:47 p.m.
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Description Usage Arguments Value Author(s) References
Description
Probeset summarization with the standard sum method.
Usage
1 2 | summarize.sum(taxonomy, level, probedata, verbose = TRUE,
downweight.ambiguous.probes = TRUE)
|
Arguments
taxonomy |
oligo - phylotype matching data.frame |
level |
taxonomic level for the summarization. |
probedata |
preprocessed probes x samples data matrix in absolute domain |
verbose |
print intermediate messages |
downweight.ambiguous.probes |
Downweight probes with multiple targets |
Value
List with two elements: abundance.table (summarized data matrix in absolute scale) and probe.parameters used in the calculations
Author(s)
Contact: Leo Lahti microbiome-admin@googlegroups.com
References
See citation("microbiome")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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